Cambridge researchers propose Hf(Sr,Ti)O2 memristors for neuromorphic devices

Researchers at the University of Cambridge have proposed an answer to escalating energy consumption of  AI hardware – multicomponent p-type Hf(Sr,Ti)O2 thin films for memristor-based neuromorphic devices. ‘Neuromorphic computing offers ...

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